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Community Ecology

, Volume 9, Issue 2, pp 193–199 | Cite as

Analysis of spatial diversity of sal (Shorea robusta Gaertn.f) forests using neighbourhood-based measures

  • M. M. RahmanEmail author
  • A. Nishat
  • G. M. M. Rahman
  • H. Ruprecht
  • H. Vacik
Article

Abstract

The study presents an analysis of spatial and structural diversity of Sal (Shorea robusta), the dominant species of sal forests in Bangladesh by using a neighbourhood analysis approach. The simple field method permits relatively unskilled persons to collect data. Most of the indices can be calculated in the field and the data analysis is comparatively easy. Therefore, the applicability of the method was tested by using different setting of reference trees compared with the full sampling for each plot in the Madhupur sal forests. The results indicate that a group of one reference tree and its four neighbours can be used efficiently to describe the spatial and structural diversity in homogeneous young forests at low costs and in short time. The indices can be easily interpreted allowing quantitative comparisons between different types of forest stands. Sal can be considered as the dominant and comparatively faster growing species than other associate species.

Keywords

Aggregation Dispersion Homogeneity Reference trees 

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Copyright information

© Akadémiai Kiadó, Budapest 2008

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • M. M. Rahman
    • 1
    Email author
  • A. Nishat
    • 2
  • G. M. M. Rahman
    • 3
  • H. Ruprecht
    • 1
  • H. Vacik
    • 1
  1. 1.Institute of Silviculture, Department of Forest and Soil SciencesUniversity of Natural Resources and Applied Life SciencesViennaAustria
  2. 2.The World Conservation Union (IUCN), Bangladesh Country OfficeDhakaBangladesh
  3. 3.Department ofAgroforestryBangladesh Agricultural UniversityMymensinghBangladesh

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